Abstract
In this paper we describe a new method of medical image registration based on robust estimators. We propose a general hierarchical optimization framework which is both multiresolution and multigrid with an adaptative partition of the volume. The approach may easily be adapted to different similarity measures (optical flow, mutual information or correlation ratio for instance) and may therefore be used either for mono-modality or for multi-modality registration. Here, we concentrate on the estimation of the optical flow leading to a single-modality non-linear registration. We aim at registering two MRI volumes of two different subjects. Results on real data are presented and discussed. Since this work is in progress, we expect more attractive and extensive results for the time of the conference.
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© 1999 Springer-Verlag Berlin Heidelberg
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Hellier, P., Barillot, C., Mémin, E., Pérez, P. (1999). Medical Image Registration with Robust Multigrid Techniques. In: Taylor, C., Colchester, A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI’99. MICCAI 1999. Lecture Notes in Computer Science, vol 1679. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10704282_74
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DOI: https://doi.org/10.1007/10704282_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66503-8
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